Federico Vasile

I'm a Postdoc at Istituto Italiano di Tecnologia, in the Humanoid Sensing and Perception (HSP) group led by Lorenzo Natale. During my PhD journey, I spent six wonderful months visiting UC San Diego, where I worked with Prof. Xiaolong Wang.

My research lies at the intersection of Computer Vision, Robotics and Prosthetics. I develop algorithms for autonomous hand prosthesis control from visual input, aiming to improve the quality of life of amputees.
Check out my research statement here.

Email / CV / Scholar / Twitter / Github

Research

Papers sorted by recency. Videos play automatically.

	Gaussian-Augmented Physics Simulation and System Identification with Complex Colliders Federico Vasile, Ri-Zhao Qiu, Lorenzo Natale, Xiaolong Wang, Under review, 2025 project website / paper / code Estimating physical parameters of objects from visual observations.
	HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning Carlo Alessi, Federico Vasile, Federico Ceola, Giulia Pasquale, Nicolò Boccardo, Lorenzo Natale International Conference on Intelligent Robots and Systems (IROS), 2025 project website / paper / code Grasping objects with the Hannes Prosthesis via Imitation Learning from an eye-in-hand camera.
	Continuous Wrist Control on the Hannes Prosthesis: a Vision-based Shared Autonomy Framework Federico Vasile, Elisa Maiettini, Giulia Pasquale, Nicolò Boccardo, Lorenzo Natale International Conference on Robotics and Automation (ICRA), 2025 project website / paper / code Segmentation and visual servoing for wrist control using an eye-in-hand camera.
	Bring Your Own Grasp Generator: Leveraging Robot Grasp Generation for Prosthetic Grasping Giuseppe Stracquadanio, Federico Vasile, Elisa Maiettini, Nicolò Boccardo, Lorenzo Natale International Conference on Robotics and Automation (ICRA), 2025 project website / paper / code Bridging the gap between robotic and prosthetic grasping through depth estimation, robotic grasp generation and visual odometry.
	Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis Federico Vasile, Elisa Maiettini, Giulia Pasquale, Nicolò Boccardo, Lorenzo Natale International Conference on Intelligent Robots and Systems (IROS), 2022 project website / paper / code (simulation) / code (experiments) A synthetic data generation framework for grasp pre-shape prediction with object-part granularity.

Borrowed from Jon Barron's source code.